bibtype C - Conference Paper (international conference)
ARLID 0524713
utime 20240103224117.4
mtime 20200604235959.9
SCOPUS 85095604269
DOI 10.2352/ISSN.2470-1173.2020.1.VDA-389
title (primary) (eng) Human Computer Interface Based on Tongue and Lips Movements and its Application for Speech Therapy System
specification
page_count 5 s.
media_type E
serial
ARLID cav_un_epca*0536802
ISSN 2470-1173
title Electronic Imaging, Visualization and Data Analysis 2020
publisher
place Springfield
name Society for Imaging Science and Technology
year 2020
keyword speech therapy
keyword deep learning
keyword tongue detection
keyword lips detection
author (primary)
ARLID cav_un_auth*0332672
name1 Bílková
name2 Zuzana
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0283562
name1 Novozámský
name2 Adam
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0312355
name1 Bartoš
name2 Michal
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0370910
name1 Dominec
name2 Adam
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0380013
name1 Greško
name2 Šimon
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0370909
name1 Paroubková
name2 Markéta
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2020/ZOI/zitova-0524713.pdf
cas_special
project
project_id TJ01000181
agency GA TA ČR
ARLID cav_un_auth*0369114
project
project_id SVV–2017–260452
agency GA MŠk
country CZ
ARLID cav_un_auth*0392693
project
project_id AP1701
agency AV ČR
country CZ
ARLID cav_un_auth*0349658
abstract (eng) The novel human computer interface is introduced, based ontongue and lips movements and using video data from a commercially available camera. The size and direction of the movementsare extracted and can be used for setting cursor actions or to otherrelevant activities. The movement detection is based on convolu-tional neural networks. The applicability of the proposed solutionis shown on the ASSISLT system, aimed to support speechtherapy for adults and children with inborn and acquired motorspeech disorders. The system focuses on individual treatment us-ing exercises that improve tongue motion and thus articulation.The system offers an adjustable set of exercises which proper per-formance is motivated using augmented reality. Automatic evaluation of the performance of therapeutic movements allows thetherapist to objectively follow the progress of the treatment.
action
ARLID cav_un_auth*0392692
name IS&T International Symposium on Electronic Imaging 2020
dates 20200126
mrcbC20-s 20200130
place Burlingame, California
country US
RIV JC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2021
num_of_auth 8
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0309170
mrcbC61 1
confidential S
article_num 389
arlyear 2020
mrcbU14 85095604269 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0536802 Electronic Imaging, Visualization and Data Analysis 2020 2470-1173 Springfield Society for Imaging Science and Technology 2020